Journal of the Korea Institute of Information and Communication Engineering
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v.23
no.7
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pp.793-800
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2019
Recently, VR technology has been able to enjoy VR content using HMD due to changes in hardware and displays. VR video contents and HMD are becoming interactive through human senses and computer interfaces. Based on flow based on VR user's perspective, VR video contents and HMD were approached as subjects for continuous use. The components of the independent variable Flow were set up in real life, immersion, and interaction. Data from 400 male and female users of 450 users commissioned by the survey agency were used in the study. Research shows that first flow influences VR video contents and continuous use. Second, flow has been shown to affect HMD and its continued use. Among the flow factors that enhance the persistence of VR video content and HMD, which act as the greatest influence was studied. Through this research, the company aims to help establish direction of the next-generation VR industry
Journal of the Korea Institute of Information and Communication Engineering
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v.25
no.6
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pp.807-812
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2021
In order to be able to interact with the user to experience it as if it were real in virtual reality contents, input/output devices that make them feel the five senses of humans are required . In virtual reality (VR), devices that stimulate sight and hearing are the most representative. For a more realistic experience, suits and gloves that stimulate the sense of touch have recently been released, but there are not many cases applied to actual contents due to the limitation of device . In this paper, we analyze a virtual reality glove that can detect hand movement and touch in a virtual world. Based on the analysis, we propose an algorithm that can sense the intensity of collision with a VR object by tactile sense by improving the UI/UX using the vibration of the feedback method used in the existing virtual reality glove. In addition, the system implemented by the algorithm is applied to an actual case.
Smart devices have penetrated deeply into our daily lives. They have not only increased user convenience, but also changed the overall lifestyle of society. The objective of this study was to examine the change process of user experience through device classification and technology by generation. In order to achieve the objective, this study analyzed the purpose and pattern of using a device, which is a digital platform, and the input and output, which are the most important digital components for personal exclusiveness and interaction. The analysis results of this study showed that, in the past, the purpose of using a device was clear, a device was used in common, and a separate device was used for input and output. However, as devices evolved, users began to emphasize the fun aspect than the purpose of a device. As a result, personal exclusiveness has increased. Moreover, unlike devices in the past depending on separate input or output methods, devices are evolving to employ a method performing input and output using the five senses of people such as the touchscreen using a body part of a user, voice, and motion. This study evaluated how the overall experience of users, which was obtained through technology, has changed for each generation. Furthermore, this study proposed the future direction of device development by considering the user experience. It is believed that the results of this study will be useful for future studies on the overall experience of users who will use a range of smart devices, which will be released in the future.
The Journal of the Convergence on Culture Technology
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v.7
no.1
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pp.570-575
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2021
Since humans live while feeling rich in their five senses, care must be taken not to damage their hearing in order to lead a happy life. Hearing damage suffered in a living environment is common in a partial band where a specific frequency band is first damaged. However, since the initial pain of hearing damage does not appear much, it is difficult to determine the symptoms in the early stages. In this paper, we proposed a high-speed measurement method that can easily and quickly self-measure hearing damage through a simple app. In this method, 9 pure tones compensated for gain for each voice soub-band are alternately heard in both ears, so that one's own hearing damage can be detected at high speed. When 18 tone pulses were heard for 30 seconds per person, 1 out of 12 subjects was identified as suspected of partial hearing damage. And when the test subjects were informed of the hearing determination method for the number of hearings, the participants themselves immediately determined whether their hearing was damaged. This measurement method simply judges the hearing of both ears within 30 seconds with a smart phone, so that hearing measurements that took more than 10 minutes in hospitals are relatively accurate, and it was found that hearing health can be maintained while reducing time and costs.
In this study, the user experience was analyzed from the learner's point of view, focusing on the metaverse platform 'Spatial'. SUS(System Usability Scale) was used to evaluate the usability of the metaverse platform 'Spatial' in a college class, and the Magnitude estimation technique was used to evaluate the immersion and satisfaction with the class. In addition, a questionnaire survey was used to collect user experience opinions on the use of 'Spatial' as a teaching tool. Looking at the usability evaluation results of the 'Spatial' system, the students evaluated the usability, immersion, and satisfaction quite positively. Looking at the user experience of metaverse platform 'Spatial', it was found that students highly valued Metaverse as an educational tool that can provide a place for many people to gather and communicate even in a non-face-to-face space. Compared to other online platforms, metaverse has advantages in ease of use, interaction, immersion, and interest. In particular, in addition to keyboard, touch, and display, interaction using the five senses such as voice, motion, and gaze was recognized as a great advantage. On the other hand, it was found that high openness, freedom, and interest factors can both promote learning and inhibit learning. Nevertheless, it is judged that the metaverse platform 'Spatial' can be effectively applied in college classes because it enables various interactions between instructor and learner or between learner and learner.
The possibility of future industrialization of artificial intelligence was studied through aspects of artificial intelligence art and movie. The field of artificial intelligence is developing by imitating humans through past and present, so it can be inferred that it is important to grasp the future image presented in movie and artificial intelligence art. Human values are represented differently in artificial intelligence films and arts. Artificial intelligence film and art are concerned with the external and internal aspects of human values, respectively. The AI movie looks at similar external aspects in human and AI shape and function, but artificial intelligence art deals with human alienation and lack of communication due to artificial intelligence technology development. Artificial intelligence in movies is a direction to visualize the imagination for artificial intelligence technology, and artificial intelligence art is expressed in the way of making and implementing works using technology. The future of artificial intelligence, which we have shown in imagination in movies today, is being realized technologically. Artificial intelligence art reflects the problems of artificial intelligence technology that can be appeared through current technology, and human problems that may arise from artificial intelligence technology development. Movies and artificial intelligence art reflect the current problems, and through them we can see the future of artificial intelligence. The future of artificial intelligence in movies is an artificial intelligence service that provides human convenience, cyborg artificial intelligence industry, industry that uses exoskeleton robot and exoskeleton suit, and artificial intelligence secretary. If we look at the future of artificial intelligence through the artificial intelligence art in terms of the problems of artificial intelligence technology and the problem of human value, there are artificial intelligence to learn from trial and error or mistakes, self-expression and communication by lifelogging, recovery of miscommunications by a reflective thinking, and an expansion of the area of artificial intelligence artist through human uncertainty. The future industrialization potential of artificial intelligence as study through aspects of artificial intelligence art and movie is an industry that extends the five senses, an industry that improves the insufficient physical ability of the human, an industry that enhances the physical ability of the human being, and an industry that maintains psychological and mental well-being.
As public attention on Well-being culture increases, it is now considered to be a new trend of modern society. The purpose of this study is to publicize the necessity of design products which are advanced in quality and encourage the use of it. The researcher judged that study on design of lighting product to adopt well-being trend is in preliminary level and aims to research on the tendency of well-bing trend and lighting design which the consumer of this age is demanding. As the result of changes in modern consumption trend, design is considered to be a factor of capricious cultural phenomenon. In addition to this, as high technology such as ubiquitous develops with the degitalisation and informatization, the consumer are paying attention to dynamic products rather than static products or products which respond to external stimulus. Products which adopt well-being trend pursuing nature friendly life are particularly preferred It means that not only the basic function of products but also design which satisfy the five sense is required. Modern consumers use products in various way. However, the pro-environmental and human-centered tendency is tried only in very limited area and general study on this matter is extremely rare. This study analyzes the factors which intercepts the adoption of well-being trend to lighting products and seeks for an alternative to solve the problem. Interaction design with well-being trend was adopted to lighting design and the result presented that there is a possibility to differentiate existing lighting design by adding interaction design to the existing lighting design. Therefore, the need for further study on this matter is presented.
Korean traditional alcohol's growth gets declined after Makgeolli's boom and it's time to enter the takeoff stage using cup based on the characteristics of each alcohols in order to their globalization and quality improvement. For now, there are 3 features of Korean traditional alcohol's cup design development; subdivision, quality improvement, systematization. However, there's no product design case that reflect the characteristics of the alcohol from the planning phase. Therefore, it needs to establish process technology for storytelling and emotion based cup design. This research aims to extract the specification for cup design and to find out the visualization element of cup's shape and material by studying 5 senses and traditional alcohol's objective informations. Through the study, the elements that can maximize the specific traditional alcohol's marketability: cup's label, pattern, decorative element based on the storytelling like history and tale were found. As a result, those result can give a new export strategy by developing competitive design that has emotional element and storytelling from the traditional alcohol's characteristics in a situation of stagnant export of the small sized home-brewed liquor business.
The Journal of the Institute of Internet, Broadcasting and Communication
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v.21
no.3
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pp.59-66
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2021
Humans mainly recognize surrounding objects using visual and auditory information among the five senses (sight, hearing, smell, touch, taste). Major research related to the latest object recognition mainly focuses on analysis using image sensor information. In this paper, after emitting various chirp audio signals into the observation space, collecting echoes through a 2-channel receiving sensor, converting them into spectral images, an object recognition experiment in 3D space was conducted using an image learning algorithm based on deep learning. Through this experiment, the experiment was conducted in a situation where there is noise and echo generated in a general indoor environment, not in the ideal condition of an anechoic room, and the object recognition through echo was able to estimate the position of the object with 83% accuracy. In addition, it was possible to obtain visual information through sound through learning of 3D sound by mapping the inference result to the observation space and the 3D sound spatial signal and outputting it as sound. This means that the use of various echo information along with image information is required for object recognition research, and it is thought that this technology can be used for augmented reality through 3D sound.
Journal of the Korean Society of Marine Environment & Safety
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v.27
no.2
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pp.363-368
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2021
Ship engine rooms have improved automation systems owing to the advancement of technology. However, there are many variables at sea, such as wind, waves, vibration, and equipment aging, which cause loosening, cutting, and leakage, which are not measured by automated systems. There are cases in which only one engineer is available for patrolling. This entails many risk factors in the engine room, where rotating equipment is operating at high temperature and high pressure. When the engineer patrols, he uses his five senses, with particular high dependence on vision. We hereby present a preliminary study to implement an engine-room patrol robot that detects and informs the machine room while a robot patrols the engine room. Images of ship engine-room equipment were classified using a convolutional neural network (CNN). After constructing the image dataset of the ship engine room, the network was trained with a pre-trained CNN model. Classification performance of the trained model showed high reproducibility. Images were visualized with a class activation map. Although it cannot be generalized because the amount of data was limited, it is thought that if the data of each ship were learned through transfer learning, a model suitable for the characteristics of each ship could be constructed with little time and cost expenditure.
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